parent nodes: Choosing a statistical test | IndexHB | Support

# Choosing a statistical test lang: en_US

When choosing a statistical test it is important that you known what you want to test. When doing a specific statistical test and it is significant it is important to verify the shape and and the sample size. For more information what are the restrictions of each test see the specific page of the test.

## Mean or Median

### Difference Mean or Median and a hypothetic value  ### Difference between 2 Means or Medians  ### Difference between multiple Means or Medians  ## Variation

### Difference between 2 variations  ### Difference between multiple variations ## Linear relations

### Relations between 2 data-sets

• Correlation calculates if there is a relation
• Regression calculates what the relations is between the data-sets ### Relations between multiple data-sets ## Reliability failure rate ## Shape of distribution ## Analysis of a measurement system  ## Overview

 Test what Normal Distribution With what statistical test Difference in Mean/Median Yes t-test No Wilcoxon–Mann–Whitney-test Difference in Mean/Median between multiple data sets Yes One way Anova No Kruskal-Wallis Test Difference in Variation Yes Variation F-test No Variation Levene test If data set is normal distributed n.a. Anderson Darling normality test Is the data according specification Yes Cp Cpk % out of tolerance If there is relation between two data sets n.a. Correlation Calculates the relation between data sets n.a Regression Difference in two proportions (Data set with only good or false results) n.a. Proportions